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Hi Julian.<br>
Since I am not an expert on pymvpa I will let the others answer your
precise question.<br>
<br>
But I have a script building upon pymvpa and pp to do cross validation
for parameter search<br>
on multiple cores and over ssh.<br>
<br>
It's only a couple of lines and very easy to use.<br>
Let me know if you're interested.<br>
<br>
Cheers,<br>
Andy<br>
<br>
<br>
On 10/06/2010 06:16 PM, Karch, Julian wrote:
<blockquote
cite="mid:82EE999347EBF142A8D78EF16FB83D8D01C824E7@MPIBMAIL01.mpib-berlin.mpg.de"
type="cite">
<pre wrap="">Hello,
i'm currently working on a project where i have to select hyperparameters for the libSVM implementation which generate a model which fits a dataset best (compared to other hyperparameters). Is there any implementation available in pymvpa accomplishes this job? I found Modelselector but as i unterstood the logic it needs the classifier/model to have a method called compute_log_marginal_likelihood which the SVM clfers seem to lag.
Julian Karch
Research Assistant
Max Planck Institute for Human Development
Department Lifespan Psychology
Lentzeallee 94
14195 Berlin
Tel.: 030 / 82406-294
Email: <a class="moz-txt-link-abbreviated" href="mailto:karch@mpib-berlin.mpg.de">karch@mpib-berlin.mpg.de</a>
Internet: <a class="moz-txt-link-abbreviated" href="http://www.mpib-berlin.mpg.de">www.mpib-berlin.mpg.de</a>
</pre>
<pre wrap="">
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</pre>
</blockquote>
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